Nicola Cantarutti

Financial-Models-Numerical-Methods. Collection of notebooks about quantitative finance, with interactive python code.

Kalman-and-Bayesian-Filters-in-Python. Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

python-machine-learning-book-2nd-edition. The "Python Machine Learning (2nd edition)" book code repository and info resource

handson-ml. A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ISLR-python. An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

math-notebooks. Non-financial notebooks

coding-interview-university. A complete computer science study plan to become a software engineer.

PhD-Thesis. phd thesis files

Time-Series. Just an example of time series library

PricingAndMore. C++